Deep Learning | Long Short Term Memory (LSTM)

In this video, we will understand Long Short-Term Memory (LSTM) in Deep Learning. LSTMs Long short-term memory (LSTM) is an artificial neural network used in the fields of artificial intelligence and deep learning. Unlike standard feedforward neural networks, LSTM has feedback connections. Such a recurrent neural network (RNN) can process not only single data points (such as images) but also entire sequences of data (such as speech or video). For example, LSTM is applicable to tasks such as unsegmented, connected handwriting recognition, speech recognition, machine translation, robot control, video games, and healthcare. #deeplearning #lstm #datascience
Source: colah.github.io/posts/2015-08...
Chapters:
00:00 - Geometrical intuitions to LSTM
08:44 - Forget Gate
12:22 - Input Gate
15:42 - Output Gate
17:15 - Conclusion about LSTM
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[@2minuteschool929]

Go on👍🙏

[@punisherjones6795]

Can you do a tutorial on building a chatbot using ontology AI NLP ML??

[@HoangDuck666]

we don't do this here